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» Adaptive edge enhancement using a neurodynamical model of vi...
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ICIP
2005
IEEE
14 years 6 months ago
Adaptive edge enhancement using a neurodynamical model of visual attention
A new approach for selective edge enhancement using unsharp masking is presented. This is based on the premise that biological vision and image reproduction share common principle...
Francesca Gasparini, Silvia Corchs, Raimondo Schet...
ICIC
2007
Springer
13 years 10 months ago
Edge Detection Based on Spiking Neural Network Model
Inspired by the behaviour of biological receptive fields and the human visual system, a network model based on spiking neurons is proposed to detect edges in a visual image. The st...
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire...
MM
2005
ACM
178views Multimedia» more  MM 2005»
13 years 10 months ago
Attention region selection with information from professional digital camera
The attentive region extraction is a challenging issue for semantic interpretation of image and video content. The successful attentive region extraction greatly facilitates image...
Song Liu, Liang-Tien Chia, Deepu Rajan
TIP
2008
205views more  TIP 2008»
13 years 4 months ago
Image Denoising Using Derotated Complex Wavelet Coefficients
A method for removing additive Gaussian noise from digital images is described. It is based on statistical modeling of the coefficients of a redundant, oriented, complex multiscale...
Mark Miller, Nick G. Kingsbury
NPAR
2006
ACM
13 years 10 months ago
Real-time pencil rendering
ROJECTPROJECT ABSTRACTABSTRACTABSTRACT After achieving real-time photorealistic rendering, the computer graphics community is beginning to turn its attention to non-photorealistic ...
Hyunjun Lee, Sungtae Kwon, Seungyong Lee